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本文引用的文献

1
A connectomic approach for subcallosal cingulate deep brain stimulation surgery: prospective targeting in treatment-resistant depression.连接组学方法在扣带回下深部脑刺激手术中的应用:治疗抵抗性抑郁症的前瞻性靶向治疗。
Mol Psychiatry. 2018 Apr;23(4):843-849. doi: 10.1038/mp.2017.59. Epub 2017 Apr 11.
2
Anatomic Connections of the Subgenual Cingulate Region.膝下扣带回区域的解剖连接
Neurosurgery. 2016 Sep;79(3):465-72. doi: 10.1227/NEU.0000000000001315.
3
DBSproc: An open source process for DBS electrode localization and tractographic analysis.DBSproc:一种用于脑深部电刺激(DBS)电极定位和纤维束成像分析的开源程序。
Hum Brain Mapp. 2016 Jan;37(1):422-33. doi: 10.1002/hbm.23039. Epub 2015 Nov 2.
4
Lead-DBS: a toolbox for deep brain stimulation electrode localizations and visualizations.Lead-DBS:一种用于深部脑刺激电极定位和可视化的工具箱。
Neuroimage. 2015 Feb 15;107:127-135. doi: 10.1016/j.neuroimage.2014.12.002. Epub 2014 Dec 8.
5
Defining critical white matter pathways mediating successful subcallosal cingulate deep brain stimulation for treatment-resistant depression.确定介导成功的胼胝体下扣带回深部脑刺激治疗难治性抑郁症的关键白质通路。
Biol Psychiatry. 2014 Dec 15;76(12):963-9. doi: 10.1016/j.biopsych.2014.03.029. Epub 2014 Apr 13.
6
Coordinate-based lead location does not predict Parkinson's disease deep brain stimulation outcome.基于坐标的电极位置不能预测帕金森病深部脑刺激的结果。
PLoS One. 2014 Apr 1;9(4):e93524. doi: 10.1371/journal.pone.0093524. eCollection 2014.
7
Deep brain stimulation surgical techniques.深部脑刺激手术技术。
Handb Clin Neurol. 2013;116:27-37. doi: 10.1016/B978-0-444-53497-2.00003-6.
8
Artificial neural network based characterization of the volume of tissue activated during deep brain stimulation.基于人工神经网络的深部脑刺激激活组织体积特征描述。
J Neural Eng. 2013 Oct;10(5):056023. doi: 10.1088/1741-2560/10/5/056023. Epub 2013 Sep 24.
9
The WU-Minn Human Connectome Project: an overview.《WU-Minn 人类连接组计划:概述》。
Neuroimage. 2013 Oct 15;80:62-79. doi: 10.1016/j.neuroimage.2013.05.041. Epub 2013 May 16.
10
Tractography-activation models applied to subcallosal cingulate deep brain stimulation.束路追踪-激活模型在扣带回下深部脑刺激中的应用。
Brain Stimul. 2013 Sep;6(5):737-9. doi: 10.1016/j.brs.2013.03.008. Epub 2013 Apr 6.

StimVision 软件:在扣带回下深部脑刺激治疗抑郁症中的应用及实例

StimVision Software: Examples and Applications in Subcallosal Cingulate Deep Brain Stimulation for Depression.

机构信息

Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.

Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA.

出版信息

Neuromodulation. 2018 Feb;21(2):191-196. doi: 10.1111/ner.12625. Epub 2017 Jun 27.

DOI:10.1111/ner.12625
PMID:28653482
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5745289/
Abstract

OBJECTIVE

Create a software tool to facilitate tractography-based deep brain stimulation (DBS) electrode targeting within the patient-specific stereotactic coordinate system used in the operating room.

APPROACH

StimVision was developed with Visualization Toolkit libraries and integrates four major components: 1) medical image visualization, 2) tractography visualization, 3) DBS electrode positioning, and 4) DBS activation volume calculation with tractography intersection.

RESULTS

Initial applications of StimVision are focused on the study of subcallosal cingulate (SCC) DBS for the treatment of depression. Retrospective modeling results on SCC DBS have suggested that direct stimulation of a specific collection of tractographic pathways are necessary for therapeutic benefit; thereby creating a tractography-based DBS surgical targeting hypotheses. StimVision is the tool we created to facilitate prospective clinical evaluation of that hypothesis.

SIGNIFICANCE

Retrospective tractography-based analyses are common in DBS research; however, intraoperative software tools for interactive selection of a tractography-based DBS target are not readily available. StimVision provides an academic research tool to assist clinical implementation of new DBS targeting strategies and postoperative evaluation of targeting outcome.

摘要

目的

创建一个软件工具,以在手术中使用的患者特定立体定向坐标系内方便基于束流追踪的深部脑刺激(DBS)电极定位。

方法

StimVision 是使用可视化工具包库开发的,它集成了四个主要组件:1)医学图像可视化,2)束流追踪可视化,3)DBS 电极定位,以及 4)通过束流追踪交叉计算 DBS 激活体积。

结果

StimVision 的初步应用集中在研究治疗抑郁症的扣带回下纵束(SCC)DBS。SCC DBS 的回顾性建模结果表明,直接刺激特定的束流追踪路径集合对于治疗效果是必要的;从而产生了基于束流追踪的 DBS 手术靶点假说。StimVision 是我们创建的工具,用于促进该假说的前瞻性临床评估。

意义

基于束流追踪的回顾性分析在 DBS 研究中很常见;然而,用于交互式选择基于束流追踪的 DBS 目标的术中软件工具并不常见。StimVision 提供了一个学术研究工具,用于辅助新的 DBS 靶向策略的临床实施和术后靶向效果的评估。